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1981 | OriginalPaper | Chapter

Normal Univariate Techniques

Author : Rupert G. Miller Jr.

Published in: Simultaneous Statistical Inference

Publisher: Springer New York

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This chapter contains a number of multisample and regression techniques whose distribution theory assumes an underlying normal distribution. It includes, in particular, the fundamental work of Duncan, Seheffé, and Tukey. Those techniques which are peculiar primarily to regression (e.g., prediction and discrimination) are discussed in Chapter 3, even though they are directly related, and in some instances special cases of the methods in this chapter. The nonparametric analogs of the techniques in this chapter are covered in Chapter 4.

Metadata
Title
Normal Univariate Techniques
Author
Rupert G. Miller Jr.
Copyright Year
1981
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4613-8122-8_2

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